AI assistant · N5 Complete system
Sales Forecast Tool Creator for Restaurants
With the Universal Sales Forecast folder, your AI builds the house's two reports from your real sales: the forecast for the next 3 months, day by day with its blind-measured range, and the 12-month projection of the following year for the budget. The engine in the folder computes the figures; your AI prepares the data and explains what they say.
N5Complete system
Several chained pieces you install and operate over time, with their review cadence. It changes how the business runs, not one decision.
◆ This assistant 116 of the 169 published assistants are at this levelIs this for you?
What it does and what you get
- The month's target usually comes from last year's sales plus a percentage that feels right.
- Shifts, purchasing and the budget are planned with it, and when it is missed nobody knows whether the operation failed or the target did.
- This assistant has your AI, with the Universal Sales Forecast folder, prepare your restaurant's daily sales so the MASTERESTAURANT® engine builds two single-file interactive reports.
- The **3-month forecast** says how much you will sell each day, week and month with its 80% range, how far the written target is and how likely you are to reach it, and turns sales into shifts, dining-room areas, dishes and ingredients.
- The **12-month projection** gives next year's sales week by week for the budget, payroll and the commercial calendar. The error of both is measured blind on your own history and compared with a naive reference: the report tells you how much to believe it.
What you end up with
The verdict on your data —how many days, since when, what is missing and whether it is enough—; your restaurant's folder built with the tool's templates; the 3-month forecast and the 12-month projection, each a single file that opens offline, built and reviewed by the engine's guardians; the verification with what stayed unverified; a five-line reading with the reports' figures; and the rhythm to run them again with its owner and its indicator.
EXAMPLE This is what you getAn example built with Tizón Norte, one of the house's fictional businesses.Not your data: your result is built with YOUR restaurant's.See the full example →Sample result
The owner asked this: «I want to know how much we will sell from now to December and build the 2027 budget. I have three years of daily sales from the point of sale and the targets I set this year.»
| Projected sales (P50, net of VAT) | $7.89 M |
| Likely range (8 out of 10) | $7.58 M – $8.20 M |
| Owner's written target | $8.51 M · −7.3% from the forecast |
| Probability of reaching the target | October 0% · November 9% · December 0% |
| Against the same dates of 2025 | +1.6% |
| Weekly error measured blind | 4.2% (naive reference 4.8% · target 7.9%) · 39 tests |
Engine figures, built with the house's three years of sales. The report's recommendation: schedule purchases and shifts with P50 and keep the target as a commercial goal.
| # | Action | Money at stake |
|---|---|---|
| 1 | Realistic targets at P50 and stretch at P75 | $617k gap to the written target |
| 2 | Activate Monday, Tuesday and Wednesday with a measured test | $237k for every 10% more on those days |
| 3 | Prepare the highest weeks with shifts and production at P80 | $85k cushion in the high weeks |
The highest week is the one of 30 November ($659k); the lowest, the one of 5 October ($546k). The engine also measured that evening rain (18–23 h) takes about 5% off the house, with firm evidence.
| 2027 sales (P50, net of VAT) | $30.90 M |
| 80% range | $29.58 M – $32.28 M |
| Against 2026 | +5.9% nominal · +2.0% real |
| Strongest week | the one of 29 November · $692k |
| Strongest and weakest month | December $2.93 M · February $2.09 M |
| 2027 ticket | $567 (+3.4%) |
Illustrative example generated with a fictional restaurant. Not a promise of results, not a client case.
This is 3 of 4 parts. Behind the wall are **both full reports —the 3-month forecast and the 2027 projection—**, **the action plan with its five actions** and **the dishes and ingredients the forecast sales call for**.
See the full example — free accountWorks with these AIs
How to use it
Which of your data it uses
This assistant works with 13 of the 24 fields in «My Restaurant», among them Restaurant name, Business type and City and country. It does not ask out of curiosity: these are what make the answer speak about YOUR scale instead of an industry average — the same calculation on a business of another size returns a number you cannot decide with. You fill them once and they apply across the library, so the second assistant you open already starts with them in place. Whatever you leave blank, the assistant asks for one thing at a time instead of inventing it, and says so before answering, so you know what it is working from.
Always up to date
Every assistant carries a visible version and date. When an AI changes how it works, the assistant's version goes up and you see what changed.
v1.0.02026-10-08Initial version. Commissioned by Diego F. Parra on 2026-10-08: «another new engine, _MR_PronosticoVentas, to create 3- or 12-month sales forecasts for restaurants; review the universal version and what _MR_PronosticoVentasUniversal does so you create the sales-forecast tool creator». Declared exception to the catalogue closed on 14 Sep. Born with its kit —the whole _MR_PronosticoVentasUniversal 1.7.0+u1.0.0 folder: spec, engine, templates, the package's example and its verifier— behind the house privacy veto (docs/72), and with its example BUILT BY THAT ENGINE: Tizón Norte, three years of sales and its menu mix from the house's menu engineering (motor/pronostico_ejemplo.py).More assistants in this category
Hand your P&L spreadsheet to the AI and receive the verdict in owner's language: where the profit went, which …
N5 · Complete systemHand over your spreadsheet —sales, costs, P&L or all three— and get a board of twelve charts where the money s…
N5 · Complete systemYour restaurant's numbers told for a decision: the story in three acts, one figure per slide with its source a…
Included in the always-growing library
Access to every published assistant, adapted to your AI and personalised with your restaurant's data, updates included.